C++ client library. Requires OpenCV and FFmpeg. You can get prebuilt FFmpeg binaries from https://github.com/BtbN/FFmpeg-Builds and OpenCV binaries from https://opencv.org/releases/.
Build
Add hl2ss.cpp, hl2ss.h, hl2ss_lnm.cpp, hl2ss_lnm.h, hl2ss_mt.cpp, and hl2ss_mt.h to your C++ project.
See main.cpp for examples.
The tasks_[...].json files are provided as a reference for building with cl.exe (Windows) and g++ (Linux).
Alternatively, you can build hl2ss_ulm.cpp as a shared library (.dll, .so, ...) and include hl2ss_ulm.h in your C++ project.
See main_ulm.cpp for examples.
If you build main.cpp or main_ulm.cpp on Windows, you may need to copy the FFmpeg and OpenCV DLLs to the client_cpp folder.
C++ MEX client library for MATLAB. It uses client_cpp as a base so it has the same requirements. See the scripts in the viewer folder for examples. See viewer_simulink.slx for using the client library in Simulink.
Build
Run hl2ss_build_[...].m to generate the MEX file. Add the client_matlab folder to MATLAB path (you can type pathtool in the MATLAB command window to do this).
On Windows, set the ffmpeg_path and opencv_path variables in the build script to the folders containing the FFmpeg and OpenCV libraries. After building the MEX file, copy the FFmpeg and OpenCV DLLs to the client_matlab folder.
C# wrapper for the hl2ss_ulm shared library. Has the same requirements as client_cpp. See the scripts in the Assets/Scripts/test folder for examples.
Build
Build the hl2ss_ulm shared library and copy it to the appropriate subfolder in Assets/Plugins. Also, copy the shared libraries for OpenCV and FFmpeg if necessary. Finally, build the Unity project.
Collection of LabVIEW VIs for streaming HoloLens 2 sensor data using the hl2ss_ulm shared library. Has the same requirements as client_cpp. See the test_[...].vi VIs for examples.
Build
Build the hl2ss_ulm shared library and copy it to the hl2ss_labview folder. Also, copy the shared libraries for OpenCV and FFmpeg if necessary.
Android Native Library for streaming HoloLens 2 sensor data to Android apps. The included Android Studio project builds the hl2ss_ulm shared library as an .aar file, which is compatible with client_unity and its C# wrapper. It has the same requirements as client_cpp. For Android, you can get prebuilt FFmpeg binaries from https://github.com/arthenica/ffmpeg-kit and OpenCV binaries from https://opencv.org/releases/.
Build
Open the project in Android Studio, set the paths to the FFmpeg and OpenCV headers and shared libraries in CMakeLists.txt, and build the hl2ss_ulm module. Import the output hl2ss_ulm-release.aar file into your Android project.
Multithreaded client extension for Python.
Build
Build the hl2ss_ulm shared library then run:
python3 extension_hl2ss_ulm_stream.py build
After building copy the hl2ss_ulm_stream.[...].pyd (or hl2ss_ulm_stream.[...].so) file in the build/lib.[...] folder to the viewer folder.
Also, copy the hl2ss_ulm shared library and the shared libraries for OpenCV and FFmpeg if necessary.
Zdepth wrapper for Python. Required to decompress RM Depth AHAT data configured with hl2ss.DepthProfile.ZDEPTH.
Build
python3 extension_zdepth.py build
After building copy the pyzdepth.[...].pyd (or pyzdepth.[...].so) file in the build/lib.[...] folder to the viewer folder. On Windows, you might need to use py instead of python3.